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Application of arti...
Application of artificial neural networks in the diagnosis of urological dysfunctions
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- Gil, David (author)
- University of Alicante
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- Johnsson, Magnus (author)
- Lund University,Lunds universitet,Kognitionsvetenskap,Filosofiska institutionen,Institutioner,Humanistiska och teologiska fakulteterna,Cognitive Science,Department of Philosophy,Departments,Joint Faculties of Humanities and Theology
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Chamizo, Juan Manuel Garcia (author)
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Paya, Antonio Soriano (author)
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Fernandez, Daniel Ruiz (author)
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(creator_code:org_t)
- Elsevier BV, 2009
- 2009
- English.
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In: Expert Systems with Applications. - : Elsevier BV. - 0957-4174. ; 36:3, s. 5754-5760
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http://dx.doi.org/10...
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Abstract
Subject headings
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- In this article, we evaluate the work out of some artificial neural network models as tools for support in the medical diagnosis of urological dysfunctions. We develop two types of unsupervised and one supervised neural network. This scheme is meant to help the urologists in obtaining a diagnosis for complex multi-variable diseases and to reduce painful and costly medical treatments since neurological dysfunctions are difficult to diagnose. The clinical study has been carried out using medical registers of patients with urological dysfunctions. The proposal is able to distinguish and classify between ill and healthy patients. (C) 2008 Elsevier Ltd. All rights reserved.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Urology
- Decision support systems
- Expert systems in medicine
- Artificial neural networks
- Artificial intelligence
Publication and Content Type
- for (subject category)
- ref (subject category)
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